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A Formal Model through Homogeneity Theory of
Adaptive Reasoning
Roberto Garligliano and Derek Long
February 1989, 195 pages,
ISBN 0-902928-53-8
We address the problem of how to deal with inaccurate,
incomplete and changing information. We proceed by formally comparing
existing reasoning systems in order to precisely define which features
are needed and which should be avoided. In order to do so, we construct
a formal theory, which we call homogeneity theory. The equivalence of
the transformation rule of identity, for each reasoning system, to some
expressions of homogeneity theory is proved. An order is then induced
among the systems analysed using the expressions of homogeneity
theory.
Some natural criteria are formally defined in order to
evaluate the respective power of the systems, which lead to a second
order of the systems, embedded in the first. An intermediate model and
finally the model, called adapative reasoning system, are specified.
They are proved to be stronger than the systems previously examined,
according to the criteria defined.
The central idea in the adaptive reasoning systems is the
attempt to recognize patterns of behaviour in sources of information,
or areas of interest, and regulate the reliability of the sources and
the stability of the areas accordingly. The adaptive reasoning system
is equipped with yardsticks against which to judge and regulate its own
performance.
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